Deriving technology indicators from corporate websites: a comparative assessment using patents
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Author / Producer
Date
2025
Publication Type
Journal Article
ETH Bibliography
yes
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Abstract
This paper investigates the potential of indicators derived from corporate websites to measure technology related concepts. Using artificial intelligence (AI) technology as a case in point, I construct a 24-year panel combining the texts of websites and patent portfolios for over 1,000 large companies. By identifying AI exposure with a comprehensive keyword set, I show that website and patent data are strongly related, suggesting that corporate websites constitute a promising data source to trace AI technologies.
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Publication status
published
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Book title
Journal / series
Volume
32 (1)
Pages / Article No.
28 - 41
Publisher
Routledge
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Corporate website; patent portfolio; technology indicator; Text data; Artificial intelligence
Organisational unit
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
06333 - KOF FB Innovationsökonomik / KOF Innovation Economics
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Funding
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